Table 2.
Authors and Year |
Sample Characteristics
|
Main Outcomes |
---|---|---|
Curvello-Silva et al., 2020 [8] |
|
Association between low PhA (<5°) and presence of hyperuricemia, adjusted by waist circumference, dysglycemia, and arterial hypertension (p = 0.018). |
Barrea et al., 2019 [9] |
|
BMI, sex and age were associated with PhA (β = −0.54, −0.32, −0.11, respectively; p ≤ 0.004). The lowest values of PhA were significantly associated with obesity (OR = 0.3) and 25(OH)D deficiency (OR = 0.2). The specific cut-off for 25(OH)D levels to predict the PhA above the median was >14 ng/mL (p < 0.001). |
Shin et al., 2017 [10] |
|
A positive correlation of PhA with albumin, BUN, creatinine, uric acid, and phosphorus (r = 0.37, 0.31, 0.50, 0.46, and 0.20; p < 0.05). A negative correlation of PhA with glucose and TCO2 (r = −0.22 and −0.19; p = 0.009 and 0.025). |
Fernández-Jiménez et al., 2022 [11] |
|
PhA cut-off for malnutrition diagnosis was 5.4°, 5.4° and 5.3°, in total sample, men and women, respectively. |
Abe et al., 2021 [12] |
|
Independent association between low PhA (<5.62° in men and <4.54° in women) and physical function (β = 0.201, p < 0.017), after adjustment. |
Shin et al., 2022 [13] |
|
Low PhA values were associated with the presence of sarcopenia, independent of age, sex, comorbidity index, eGFR, and uPCR (OR: 0.12; p = 0.001). |
Han et al., 2018 [14] |
|
Association between PhA and nutritional status (GNRI > 98 score, β = 0.152, p = 0.037). |
Han et al., 2019 [15] |
|
Albumin level (OR: 0.131; p < 0.001) was significantly associated with undernutrition (PhA < 4.17°) in the DMCKD5 group. |
Silva et al., 2018 [16] |
|
The mechanical ventilation time and European system for cardiac operative risk (EuroSCORE) were inversely associated with PhA in all three assessments (p = 0.05). |
de Oliveira-Filho et al., 2020 [17] |
|
Obese subjects had a higher PhA in comparison with eutrophic subjects (6.9 ± 0.9° vs. 6.5 ± 0.8°; p = 0.003). |
Jun et al., 2021 [18] |
|
Decrease in PhA with respect to age in DMT2 vs. control group. Decrease in PhA in patients with DMT2, and the changes were exacerbated over the disease duration. |
Chen et al., 2020 [19] |
|
NAFLD subjects had a higher PhA in comparison with non-NAFLD subjects (5.53 ± 0.66° vs. 5.43 ± 0.60°; p = 0.04). Association between PhA and the risk of NAFLD, after adjustment (OR = 1.40, p = 0.03). |
Fu et al., 2022 [20] |
|
BMI, sex, and age were associated with PhA (β = 0.006, 0.629, −0.014, respectively; p < 0.05). |
Streb et al., 2020 [21] |
|
An increase of 1% point in body fat representing a reduction of 0.065° in PhA, after adjustment (p < 0.001). |
Ferreira et al., 2018 [22] |
|
PhA was inversely and significantly correlated with waist-to-height ratio and body shape index, r = −0.22, −0.21, respectively; p < 0.05. |
Sarmento-Dias et al., 2017 [23] |
|
Low PhA (<6°) had higher CRP, AI, and SCS values, and lower serum albumin and fetuin-A levels compared with patients with high PhA (≥6°). Association between PhA and arterial stiffness, after adjustment (β = −0.266, p = 0.088). |
Abbreviations: PhA: phase angle; BUN: blood urea nitrogen; BMI: body mass index; NR: not reported; CKD: chronic kidney disease; Xc: reactance; R: resistance; NAFLD: non-alcoholic fatty liver disease; T2D: type 2 diabetes; CRP: C-reactive protein; AI: augmentation index; SCS: simple vascular calcification score.